274E          ; valid                  ;      ; NV8    # 6.0  NEGATIVE SQUARED CROSS MARK
274F..2752    ; valid                  ;      ; NV8    # 1.1  LOWER RIGHT DROP-SHADOWED WHITE SQUARE..UPPER RIGHT SHADOWED WHITE SQUARE
2753..2755    ; valid                  ;      ; NV8    # 6.0  BLACK QUESTION MARK ORNAMENT..WHITE EXCLAMATION MARK ORNAMENT

     * @throws Exception in case of issue
     */
    /* MNG-786*/
    @Test
    void testProfileModules() throws Exception {
        PomTestWrapper pom = buildPom("profile-module", "a");
        assertEquals("test-prop", pom.getValue("properties[1]/b")); // verifies profile applied
        assertEquals(4, ((List<?>) pom.getValue("modules")).size());
        assertEquals("module-2", pom.getValue("modules[1]"));

     */
    protected void parseProjectProperties(final Path propPath) {
        try (final InputStream in = Files.newInputStream(propPath)) {
            final Properties prop = new Properties();
            prop.load(in);
            version = prop.getProperty("fess.version", "0.0.0");
            final String[] values = version.split("\\.");
            majorVersion = Integer.parseInt(values[0]);

pkg syscall (darwin-386), type BpfProgram struct, Insns *BpfInsn
pkg syscall (darwin-386), type BpfProgram struct, Len uint32
pkg syscall (darwin-386), type BpfStat struct
pkg syscall (darwin-386), type BpfStat struct, Drop uint32
pkg syscall (darwin-386), type BpfStat struct, Recv uint32
pkg syscall (darwin-386), type BpfVersion struct
pkg syscall (darwin-386), type BpfVersion struct, Major uint16

    return warmUp(cache, WARMUP_MIN, WARMUP_MAX);
  }

  /**
   * Returns the entries that were added to the map, so they won't fall out of a map with weak or
   * soft references until the caller drops the reference to the returned entries.
   */
  private List<Entry<Object, Object>> warmUp(
      LoadingCache<Object, Object> cache, int minimum, int maximum) {

    *   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
        also deterministic back-prop of bias-addition in Keras layers) to
        include when XLA JIT compilation is enabled.
    *   Fix problem, when running on a CUDA GPU and when either environment

    return warmUp(cache, WARMUP_MIN, WARMUP_MAX);
  }

  /**
   * Returns the entries that were added to the map, so they won't fall out of a map with weak or
   * soft references until the caller drops the reference to the returned entries.
   */
  private List<Entry<Object, Object>> warmUp(
      LoadingCache<Object, Object> cache, int minimum, int maximum) {

//
// During evaluation, the query is known to be valid, as analysis is
// complete. The only errors possible are due to value type
// mismatches, etc.
//
// If an aggregation node is present as a descendant (when
// e.prop.isAggregation is true), we call evalNode on all child nodes,
// check for errors, but do not perform any combining of the results
// of child nodes. The final result row is returned after all rows are

     * Use a exclusive connection for this tree
     *
     * If an exclusive connection is used the caller must make sure that the tree handle is kept alive,
     * otherwise the connection will be disconnected once the usage drops to zero.
     *
     * @param np
     *            whether to use an exclusive connection
     */
    void setNonPooled(final boolean np) {
        this.nonPooled = np;
    }

    /**

	// but advance only one byte. This matches the behavior of a range loop over
	// an incorrectly encoded string.
	return 1, errorRune, nil
}

// dropCR drops a terminal \r from the data.
func dropCR(data []byte) []byte {
	if len(data) > 0 && data[len(data)-1] == '\r' {
		return data[0 : len(data)-1]
	}
	return data
}